<p><strong> AWS Data Engineer</strong></p><p><br></p><p><strong>Position Overview</strong></p><p>We are seeking a skilled IT Data Integration Engineer / AWS Data Engineer to join our team and lead the development and optimization of data integration processes. This role is critical to ensuring seamless data flow across systems, enabling high-quality, consistent, and accessible data to support business intelligence and analytics initiatives. This is a long-term contract role in Southern California.</p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and Maintain Data Integration Solutions</li><li>Design and implement data workflows using AWS Glue, EMR, Lambda, and Redshift.</li><li>Utilize PySpark, Apache Spark, and Python to process large datasets.</li><li>Ensure accurate and efficient ETL (Extract, Transform, Load) operations.</li></ul><p>Ensure Data Quality and Integrity</p><ul><li>Validate and cleanse data to maintain high standards of quality.</li><li>Implement monitoring, validation, and error-handling mechanisms.</li></ul><p>Optimize Data Integration Processes</p><ul><li>Enhance performance and scalability of data workflows on AWS infrastructure.</li><li>Apply data warehousing concepts including star/snowflake schema design and dimensional modeling.</li><li>Fine-tune queries and optimize Redshift performance.</li></ul><p>Support Business Intelligence and Analytics</p><ul><li>Translate business requirements into technical specifications and data pipelines.</li><li>Collaborate with analysts and stakeholders to deliver timely, integrated data.</li></ul><p>Maintain Documentation and Compliance</p><ul><li>Document workflows, processes, and technical specifications.</li><li>Ensure adherence to data governance policies and regulatory standards.</li></ul>

<p><strong>Qualifications</strong></p><p><strong>Education & Experience</strong></p><ul><li>Bachelor’s degree in Computer Science, Information Technology, or related field (Master’s preferred).</li><li>4–6 years of experience in data engineering, database design, and ETL development.</li><li>5+ years of experience with AWS tools: S3, EMR, Glue, Athena, Redshift, Postgres, RDS, Lambda.</li><li>5+ years of programming experience in PySpark and Python.</li><li>3+ years working with databases, data marts, or data warehouses.</li></ul><p><strong>Technical Skills</strong></p><ul><li>Proven experience in system integration and CI/CD implementation.</li><li>Strong understanding of data security, privacy, and compliance.</li><li>Experience with complex database objects and data migration across environments.</li></ul><p><strong>Soft Skills</strong></p><ul><li>Excellent problem-solving and communication abilities.</li><li>Ability to collaborate effectively with cross-functional teams.</li><li>Agile development experience including sprint planning and retrospectives.</li><li>Detail-oriented with a commitment to data quality.</li><li>Continuous learning mindset to stay current with evolving technologies.</li></ul>

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